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Protecting Data Privacy with Decentr...
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Li, Chao.
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Protecting Data Privacy with Decentralized Self-Emerging Data Release Systems.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Protecting Data Privacy with Decentralized Self-Emerging Data Release Systems./
作者:
Li, Chao.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
156 p.
附註:
Source: Dissertations Abstracts International, Volume: 81-03, Section: A.
Contained By:
Dissertations Abstracts International81-03A.
標題:
Information science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13860179
ISBN:
9781085743907
Protecting Data Privacy with Decentralized Self-Emerging Data Release Systems.
Li, Chao.
Protecting Data Privacy with Decentralized Self-Emerging Data Release Systems.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 156 p.
Source: Dissertations Abstracts International, Volume: 81-03, Section: A.
Thesis (Ph.D.)--University of Pittsburgh, 2019.
This item must not be sold to any third party vendors.
In the age of Big Data, releasing private data at a future point in time is critical for various applications. Such self-emerging data release requires the data to be protected until a prescribed data release time and be automatically released to the target recipient at the release time. While straight-forward centralized approaches such as cloud storage services may provide a simple way to implement self-emerging data release, unfortunately, they are limited to a single point of trust and involves a single point of control. This dissertation proposes new decentralized designs of self-emerging data release systems using large-scale peer-to-peer (P2P) networks as the underlying infrastructure to eliminate a single point of trust or control. The first part of the dissertation presents the design of decentralized self-emerging data release systems using two different P2P network infrastructures, namely Distributed Hash Table (DHT) and blockchain. The second part of this dissertation proposes new mechanisms for supporting two key functionalities of self-emerging data release, namely (i) enabling the release of self-emerging data to blockchain-based smart contracts for facilitating a wide range of decentralized applications and (ii) supporting a cost-effective gradual release of self-emerging data in the decentralized infrastructure. We believe that the outcome of this dissertation would contribute to the development of decentralized security primitives and protocols in the context of timed release of private data.
ISBN: 9781085743907Subjects--Topical Terms:
554358
Information science.
Subjects--Index Terms:
Blockchain
Protecting Data Privacy with Decentralized Self-Emerging Data Release Systems.
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In the age of Big Data, releasing private data at a future point in time is critical for various applications. Such self-emerging data release requires the data to be protected until a prescribed data release time and be automatically released to the target recipient at the release time. While straight-forward centralized approaches such as cloud storage services may provide a simple way to implement self-emerging data release, unfortunately, they are limited to a single point of trust and involves a single point of control. This dissertation proposes new decentralized designs of self-emerging data release systems using large-scale peer-to-peer (P2P) networks as the underlying infrastructure to eliminate a single point of trust or control. The first part of the dissertation presents the design of decentralized self-emerging data release systems using two different P2P network infrastructures, namely Distributed Hash Table (DHT) and blockchain. The second part of this dissertation proposes new mechanisms for supporting two key functionalities of self-emerging data release, namely (i) enabling the release of self-emerging data to blockchain-based smart contracts for facilitating a wide range of decentralized applications and (ii) supporting a cost-effective gradual release of self-emerging data in the decentralized infrastructure. We believe that the outcome of this dissertation would contribute to the development of decentralized security primitives and protocols in the context of timed release of private data.
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